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Thirty Madison

Senior Product Manager (Machine Learning)

Posted 2 Days Ago
Remote
Hiring Remotely in US
156K-215K
Senior level
Remote
Hiring Remotely in US
156K-215K
Senior level
As a Senior Product Manager, you will lead Machine Learning initiatives, driving integration into products and collaborating with various teams to prioritize projects, ensuring alignment with business objectives and successful execution.
The summary above was generated by AI

As a Senior Product Manager, you will support and drive Machine Learning (ML) initiatives across our organization. You will act as a strategic connector, ensuring ML-powered capabilities are successfully integrated into core product experiences. You will work closely with ML engineers, product managers, and cross-functional teams to evangelize ML opportunities, prioritize impact-driven projects, and drive execution. Success in this role requires a high degree of influence, strong analytical skills, and a proactive mindset to navigate a matrixed environment. Above all, you embody the Thirty Madison mission of providing access to healthcare for all who suffer from chronic conditions.

Comp | Perks | Benefits 

  • The base pay range for this position is $156,000 - $214,500 per year**
  • Annual Incentive Plan + Stock Option Package
  • Robust and affordable Medical, Dental, and Vision plan options 
  • 401(k) with a match, commuter benefits, and FSA
  • Annual $750 vacation stipend and $500 happiness stipend
  • Flexible time off policy

**Base pay offered may vary depending on job-related knowledge, skills, and experience. An annual incentive plan and stock options may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.

What you get to do every day

  • Champion ML-driven opportunities by identifying high-impact use cases and effectively communicating their business value across the organization.
  • Translate ML capabilities into product opportunities, partnering with other PMs to align ML initiatives with broader product strategies.
  • Serve as the primary advocate for ML projects, educating stakeholders on feasibility, potential outcomes, and tradeoffs
  • Partner closely with ML engineers to define problem spaces, clarify scope, and drive structured ML product discovery.
  • Work cross-functionally with product managers, engineers, data teams, and business stakeholders to integrate ML capabilities across patient and provider facing experiences.
  • Ensure ML initiatives are prioritized effectively, proactively managing dependencies and aligning resources across teams.
  • Drive clear execution plans, balancing technical feasibility, business needs, and user impact.
  • Author clear, actionable Product Requirement Documents (PRDs) that translate ML insights into business-aligned product roadmaps.
  • Collaborate with ML engineers and product analysts to define and track success metrics, ensuring ML-powered features deliver measurable business and user value.
  • Own the end-to-end ML implementation lifecycle, from experimentation and validation to production deployment and continuous iteration.
  • Communicate project outcomes effectively, synthesizing technical impact analyses into business insights for senior leadership.

What you bring to the role

  • 5+ years of Product Management experience, including direct work with Machine Learning, AI, or Data Science products.
  • Proven track record of successfully launching ML-powered features in collaboration with cross-functional teams.
  • Strong stakeholder management and influence skills, particularly in highly matrixed organizations.
  • Ability to translate complex technical concepts into clear business value, ensuring alignment with company objectives.
  • Experience in data-driven product development, including defining KPIs and measuring ML impact.
  • Comfortable working in fast-paced, ambiguous environments with a proactive and adaptable approach.

Bonus points

  • Experience working directly with Machine Learning engineers, data scientists, and data engineering teams.
  • Familiarity with Machine Learning methodologies, experimentation frameworks, and model deployment considerations.
  • Hands on analytical skills with SQL, Looker, or data visualization tools to inform product decisions.

All Company policies and procedures are subject to change without notice based on business needs. This includes, but is not limited to, the locations where we hire remote, hybrid, or onsite employees.

U.S. Applicants Only

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Thirty Madison we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Contact us at [email protected] to request accommodation.

About Thirty Madison 

Thirty Madison is a family of specialized healthcare brands devoted to creating exceptional outcomes for all. Each of its specialized brands is focused on a specific ongoing condition, and thoughtfully designed to support the unique needs of its community with personalized treatments and care; with Keeps for men's hair loss, Cove for migraine,  Facet for skin conditions, and NURX for sexual health. With empathy at the heart of its innovation, its proprietary care model empowers hundreds of thousands of people with ongoing conditions with the accessible, effective treatments across a lifetime of care. In just four years, we’ve built a number of brands and are continuing to grow rapidly, recently raised a $140m Series C, and are backed by some of the best healthcare and consumer investors, including HealthQuest Capital, Mousse Partners, Bracket Capital, Polaris Partners, Johnson & Johnson, Maveron, Northzone, among others.

We are honored to become Great Place to Work certified and be included on BuiltIn's 2021 list of Best Places To Work in New York City, and Best Midsize Companies To Work For. We've also been recognized by Forbes' Best Startup Employers, being named as one of America's Best Places to Work 2022. This recognition is a true testament to our hardworking team and company culture. As we continue to grow, we pride ourselves on finding passionate individuals who truly embody our core values and mission each and every day. Learn more at ThirtyMadison.com. 

*This employer participates in E-Verify and will provide the federal government with your I-9 Form information to confirm that you are authorized to work in the U.S.*

*Please be aware that there are fraudulent entities who are falsely claiming to be or represent Thirty Madison in order to solicit sensitive personal information or payment. Thirty Madison is not in any way associated with these entities or practices. The safety and integrity of those seeking employment with us is of the utmost importance and we actively work with our legal and security teams to prevent future incidents. 

Thirty Madison will never ask for sensitive information or payment when engaging with job seekers. The entities use many methods to perpetuate these scams, including but not limited to: participating in a text-only interview, using Thirty Madison’s trademarks on their correspondence, or providing you with a seemingly legitimate offer letter. If you suspect you are a victim of this scamming, we encourage you to cease further contact and report the crime to The Federal Trade Commission.

Top Skills

Looker
Machine Learning
SQL

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